About: An Approach to Quantify Endomembrane Dynamics in Pollen Utilizing Bioactive Chemicals

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Approach to Quantify Endomembrane Dynamics in Pollen Utilizing Bioactive Chemicals
Creator	Ung, Nolan Brown, Michelle Hicks, Glenn Raikhel, Natasha
Source	Elsevier; Medline; PMC
abstract	Tip growth of pollen tubes and root hairs occurs via rapid polar growth. These rapidly elongating cells require tip-focused endomembrane trafficking for the deposition and recycling of proteins, membranes, and cell wall materials. Most of the image-based data published to date are subjective and non-quantified. Quantitative and comparative descriptors of these highly dynamic processes have been a major challenge, but are highly desirable for genetic and chemical genomics approaches to dissect this biological network. To address this problem, we screened for small molecules that perturbed the localization of a marker for the Golgi Ras-like monomeric G-protein RAB2:GFP expressed in transgenic tobacco pollen. Semi-automated high-throughput imaging and image analysis resulted in the identification of novel compounds that altered pollen tube development and endomembrane trafficking. Six compounds that caused mislocalization and varying degrees of altered movement of RAB2:GFP-labeled endomembrane bodies were used to generate a training set of image data from which to quantify vesicle dynamics. The area, velocity, straightness, and intensity of each body were quantified using semi-automated image analysis tools revealing quantitative differences in the phenotype caused by each compound. A score was then given to each compound enabling quantitative comparisons between compounds. Our results demonstrate that image analysis can be used to quantitatively evaluate dynamic subcellular endomembrane phenotypes induced by bioactive chemicals, mutations, or other perturbing agents as part of a strategy to quantitatively dissect the endomembrane network.
has issue date	2015-01-05(xsd:dateTime)
bibo:doi	10.1093/mp/sss092
bibo:pmid	23118478
has license	no-cc
sha1sum (hex)	b2d6d392553754948e32a82843d78c4d4e0dcb7b
schema:url	https://doi.org/10.1093/mp/sss092
resource representing a document's title	An Approach to Quantify Endomembrane Dynamics in Pollen Utilizing Bioactive Chemicals
has PubMed Central identifier	PMC7105205
has PubMed identifier	23118478
schema:publication	Mol Plant
resource representing a document's body	covid:b2d6d392553754948e32a82843d78c4d4e0dcb7b#body_text
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